Vehicle Insurance Business Analysis System Based On Data Warehousing

In recent years, with the constant emerging of the new types of insurance business. People are requesting a higher demand on the insurance business. How to carry out risk analysis and judge the profit and loss rapidly and effectively , provide a personalized insurance services, then Calculate and work out a vehicle insurance companies for individual statistical indicators according to variety insured, the insured, and other historical data. We set a reasonable reserve level which is the urgent need to solve in the insurance industry.Business Intelligence (Business Intelligence, called BI) is a kind of technology which is generated by the constant development of the enterprise information. BI systems can collect the large number of fragmented, unsystematic, isolated enterprise information system to analysis and process effectively and reasonably, can extract useful information which is needed by the enterprise , and provide reliable basis for business decision-makers. BI's technologies include data warehouse,OLAP and data mining . These technologies are hot and difficult points in current computer science research. This article discusses the business intelligence technology in the vehicle insurance business, then proposes an analysis system which is based on the data warehouse and data mining technology.Based on the detailed analysis of vehicle insurance industry, this article introduces the basic indicators of vehicle insurance ,and focuses on the premium targets,indicators of compensation,payment rate targets,indicators and control of financial indicators. Secondly, based on the actual business and business intelligence technology, this article proposed a overall structure of the system design, mainly introduces system software architecture and the System deployment architecture. This article focuses on the building of the data warehouse,data mining and how to use data mining technology to analysis the method of the storage of data,the premiums,and other data. Highly emphasized the 24 points, the years' rate of payment calculation method. and analyzed the data warehouse module in the processing technology and the statements design. These technical indicators can provide scientific,efficient and accurate support for the operation decision of insurance companies, can provide timely,accurate and scientific basis for market operators' decisions, making enterprises to adapt to the increasingly fierce market competition.Through the system design, we can adjust customer data, at a deeper level of understanding of customer behavior, risk and profitability. The use of the solution, you can make more effective use of corporate assets and channel resources to increase the value of the company's customers, at the same time your company can increase the value to customers, thereby achieve a win-win situation.